Advertisement

Topics

State Estimation of Hemodynamic Model For fMRI Under confounds: SSM Method.

08:00 EDT 15th May 2019 | BioPortfolio

Summary of "State Estimation of Hemodynamic Model For fMRI Under confounds: SSM Method."

Through hemodynamic models, the change of neuronal state can be estimated from functional magnetic resonance imaging (fMRI) signals. Usually, there are confounds in the fMRI signal, which will degrade the performance of the estimation for the neuronal state change. For the reason, this paper introduces a state space model (SSM) with confounds, from a conventional hemodynamic model. In this model, a successive state estimation method requires a state value vector, an error covariance, an innovation covariance and a cross covariance to be re-derived. Thus, a confounds square-root cubature Kalman smoothing (CSCKS) algorithm is proposed in this paper. We use a Balloon-Windkessel model to generate simulation data and add confounds signals to evaluate the performance of the proposed algorithm. The experiment results show that when the signal-to-interference ratio (SIR) is less than 21dB, the CSCKS proposed in this paper reduced estimation error to 20%, whereas the traditional algorithm reduced it to only 75%.

Affiliation

Journal Details

This article was published in the following journal.

Name: IEEE journal of biomedical and health informatics
ISSN: 2168-2208
Pages:

Links

DeepDyve research library

PubMed Articles [23438 Associated PubMed Articles listed on BioPortfolio]

Quantifying the accuracy of ancestral state prediction in a phylogenetic tree under maximum parsimony.

In phylogenetic studies, biologists often wish to estimate the ancestral discrete character state at an interior vertex v of an evolutionary tree T from the states that are observed at the leaves of t...

Improved state change estimation in dynamic functional connectivity using hidden semi-Markov models.

The study of functional brain networks has grown rapidly over the past decade. While most functional connectivity (FC) analyses estimate one static network structure for the entire length of the funct...

Robust estimation of hemo-dynamic parameters in traditional DCE-MRI models.

In dynamic contrast enhanced (DCE) MRI, separation of signal contributions from perfusion and leakage requires robust estimation of parameters in a pharmacokinetic model. We present and quantify the p...

State of charge estimation of vanadium redox battery based on improved extended Kalman filter.

The accurate state of charge (SOC) estimation can protect the battery from overcharging and over-discharging, and it is useful to make an effective dispatching strategy. The extended Kalman filter (EK...

Capturing Dynamic Connectivity from Resting State fMRI using Time-Varying Graphical Lasso.

Functional connectivity (FC) within the human brain evaluated through functional magnetic resonance imaging (fMRI) data has attracted increasing attention and has been employed to study the developmen...

Clinical Trials [7489 Associated Clinical Trials listed on BioPortfolio]

Addressing Motion and Confounds Issues in Resting fMRI- Application of Multi-echo EPI Scanning

Resting state functional MRI is widely used for studying brain functional networks. However, in-scanner head movement and other non-neuronal noise can disproportionately bias connectivity ...

Concussion in Rugby Players: a Pilote Study of Neural Recovery Using fMRI

This study assess the putative persistence of neural damage using resting state fMRI after concussion in rugby player once they have clinically recovered. The hypothesis is that despite a ...

The Role of Music Stimulation in Disorders of Consciousness State: an fMRI Study

The aim of the present study was to evaluated the neural effect of music on the cerebral activation in unresponsive wakefulness syndrome (UWS) and minimally conscious state (MCS) by using ...

Observation of Principal Hemodynamic Variables After Spinal Anesthesia With Non Invasive Hemodynamic Monitoring

The study is aimed at observe how spinal anesthesia modifies the hemodynamic state of the patient after optimization to preload independence with a Goal Directed Therapy algorithm guided b...

Pharmacokinetics of Vancomycin in ICU Patients

Vancomycin is frequently under-dosed in ICU patients during the first 24-48 hours of treatment. Glomerular hyperfiltration syndrome, increased drug volume of distribution, vasopressor use,...

Medical and Biotech [MESH] Definitions

A principle of estimation in which the estimates of a set of parameters in a statistical model are those quantities minimizing the sum of squared differences between the observed values of a dependent variable and the values predicted by the model.

Statistical formulations or analyses which, when applied to data and found to fit the data, are then used to verify the assumptions and parameters used in the analysis. Examples of statistical models are the linear model, binomial model, polynomial model, two-parameter model, etc.

Theoretical models simulating behavior or activities in nursing, including nursing care, management and economics, theory, assessment, research, and education. Some examples of these models include Orem Self-Care Model, Roy Adaptation Model, and Rogers Life Process Model.

Method of isolation and maintenance of a working heart for various cardiac measurements. The model allows for the separation of cardiac and systemic variables in the denervated heart.

Mechanism by which changes in neural activity are tightly associated with regional cortical HEMODYNAMICS and metabolism changes. The association is often inferred from NEUROIMAGING signals (e.g., fMRI; or NIR SPECTROSCOPY).

Advertisement
Quick Search
Advertisement
Advertisement

 


DeepDyve research library

Searches Linking to this Article